I am a lecturer in the School of Computing. My fundamental research is in Computational Argumentation. Computational Argumentation is the study of how humans build, exchange, analyse, and use arguments in their daily life to deal with controversial, incomplete, or inconsistent information.The field includes the study of arguments structures, arguments interactions, representation of arguments via argumentation graphs, the identification of arguments acceptability status (using argumentation semantics), the extraction of argumentative structures from text (argumentation mining), the stud of how argumentation graphs can be learned from data (argumentative machine learning), the study of how to combine argumentation semantics with probabilistic and fuzzy reasoning, how discussions can be won (strategical argumentative games) and how humans can be persuaded (computational persuasion systems). Computational Argumentation will be a key technology in building explainable AI systems, systems not only suggesting a solution to a task, but also able to explain it to a humans and to engage in a dialogue with it. My multi-disciplary research is in the field of social network analysis, scientific peer-review, computational models of trust.